Instructions to use hungphongtrn/vi_en_vinai-translate-vi2en-v2_doc_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/vi_en_vinai-translate-vi2en-v2_doc_train with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_doc_train") model = AutoModelForMultimodalLM.from_pretrained("hungphongtrn/vi_en_vinai-translate-vi2en-v2_doc_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e179cec666d30eb359d37bd2939b00c2978c6226a0ba4f570112aa018b37f65
- Size of remote file:
- 1.69 GB
- SHA256:
- 9f6aeb0c215173cdfae2453658652dc258488bd19b35b2afab609753ab7b645f
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